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Record W7009707487

Enzymatic, structural and hydrodynamic characterization of human oligoadenylate synthetase 2

2020· dissertation· en· W7009707487 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2020
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsOscillographDiafiltrationNucleofectionProcess (computing)Terminal (telecommunication)
DOInot available

Abstract

fetched live from OpenAlex

The 2’-5’ oligoadenylate synthetases (OAS) are important components of the innate immune system that recognize viral double stranded RNA (dsRNA). Upon dsRNA binding, OAS generates 2'-5'-linked oligoadenylates (2-5A), that activate ribonuclease L (RNase L) halting viral replication. The OAS/RNase L pathway is thus an important antiviral pathway and viruses have devised strategies to circumvent OAS activation. OAS enzymes are divided into four classes according to size: small (OAS1), medium (OAS2) and large (OAS3) that consist of one, two and three OAS domains respectively, and the OAS-like protein (OASL) that consists of one OAS domain and tandem domains similar to ubiquitin. Early investigations of the OAS enzymes hinted at the recognition of dsRNA by OAS, but due to size differences amongst OAS family members combined with the lack of structural information on full-length OAS2 and OAS3, the regulation of OAS catalytic activity by dsRNA is still not well understood. In particular, little is known about the structure, domain organization and hydrodynamic properties of OAS2. This is mostly due to the lack of well-established OAS2 expression systems and poor protein yield obtained from standard OAS2 expression from insect cells. Here I report expression and purification of OAS2 in human embryonic kidney cells. Following OAS2 purification, I investigated its dsRNA substrate specificity relative to OAS1. Activation assays with dsRNA suggested that OAS2 recognizes dsRNA greater than 35 base pairs. Further, I present the first low resolution structure of OAS2 obtained by small angle X-ray scattering that shows OAS2 exists as a high-affinity dimer. Using an integrated approach involving analytical ultra-centrifugation, dynamic light scattering and multi-angle light scattering I determined the hydrodynamic parameters and absolute molar mass of OAS2. This is followed by the computational model generation of dsRNA-OAS2 complex using dsRNA-OAS1 as restraints. Together, these results help us to better understand OAS2 domain organization, the features of dsRNA binding and the mechanism of 2-5A chain formation in OAS enzymes, further enhancing our understanding of how OAS discriminate self RNA from viral RNA. Together this work contributes to our understanding of the diverse roles OAS enzymes play in the innate immune system.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.203
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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